پژوهشنامه مدیریت اجرایی
سال هفتم شماره 13 (بهار و تابستان 1394)

Growth and profitability are of the main goals and strategic priorities for most companies which show the importance of corporate growth for senior managers. But despite the importance of firms’ growth in the business, it is very little known about the nature and manner of companies' growth. The aim of this study is to develop a model of organizational growth in automobile parts industry using the system dynamics approach. The research method is descriptive- analytical method. The research statistical population is all the members of auto parts producing association in East Azarbaijan province, Iran, including 186 firms of which 126 companies were randomly selected. A questionnaire with Cronbach's alpha coefficient of 0.897 is used to collect information to determine the most important variables in organizational development (system boundary). Then the relationships between variables have been identified with the use of experts view points (dynamic Hypothesis) and an organizational growth model is simulated using causal loop and flow diagrams. To test the validity of the model, the data of Charkheshgar Company are used and after model validation, two scenarios of subsidies elimination and changes of bank interest rate are simulated and their effects on the model behavior have been studied.

Today, due to hyper competition and complexity of rivals’ activities, companies should study their own organizational multilaterally more than before. The present study aims at investigating the impact of organizational intelligence on organizational performance considering marketing capacities in Ahwaz SMEs. Organizational intelligence is studied in two perspectives: competitive intelligence and emotional intelligence. Marketing capacities include market orientation, competitive advantage and competitive strategy. The Research methodology is library and field study while the tool to collect field data is a Likert scale questionnaire. The Cronbach’s alpha of (0/881) computed of questionnaires indicates proper reliability. Its population consists of SMEs in Ahvaz city. Kokaran formulation and simple layer random sampling techniques are used to determine sample size (109). The causal relations among variables are studiedusing structural equation modeling (SEM). The findings indicate that organizational intelligence impacts on organizational performance (significant ratio = 1.17) is not significant while organizational intelligence has a higher impact on organizational performance indirectly through marketing capacities (3/98+1/98=5/96).

Occupational health and safety Environmental (HSE) management systems have a unique role in sustainable development of Hazardous Industries. Performance measurement and management is one of the managers challenges in recent years this. The aim of this research is to develop a dynamic approach to HSEperformance management. To achieve the mentioned goal in the first step H3SEperformance excellence evolutional trendwas assessed. Then, based on statistic H3SE PE, a dynamic model was developed. Finally H3SEmaturity in Petrochemical Industries level with regard to criteria interaction and casual relationships. The research findingimplies on safety performance evaluation model evolutional trend. But the main challenge of managers is to coordinate H3SE subsystems. Since the performance evaluation models mechanism is based on quantitative methods and principles; define criteria's importance and casual relationship among them needs quantitative methods.

The number of companies using Hybrid channels strategy for distributing of each of their products is increasing steadily. Despite of this popularity and increasing use of this strategy, a conclusive research in this field have not been performed and we strongly need for a scientific and valid model in this field. This study has been performed in order to develop a model for using hybrid distribution channels strategy in financial organizations. Model’s constituents and the relations between them have been determined by using of grounded theory and in-depth interview with 18 experts in banking and insurance. This model helps organizations in different industries particularly those in financial services sector to enhance their understanding of distribution channels and consider model’s constituents when deciding on distribution channels design and using of hybrid channels strategy. In this case, by using this model financial firms could benefit of increasing types of distribution channels while avoiding from its problems and challenges.

The balanced scorecard is one of the system management tools, which was first used for measuring performance and then has been used as an effective framework in strategic management. This research due to the importance of formulating strategy for one the most important part of the Iran sector economy has been defined, so the present research, made attempts to Identify and explain the strategic objectives of a balanced scorecard for banking of Iran. A mix method research methodology (quantitative-qualitative) was adopted. Statistical population and sample are banking industry and Iranian banking experts. First, in quantitative phase, 30 in-depth semi-structured interviews were conducted with banking domain experts and the GT approach has been conducted for summarizing and grouping data. Second in quantitative phase, the collected strategic goals were corroborated by collecting 100 domain experts’ ideas through questionnaires. The important results of this research are identifying and explaining seventeen strategic objectives for banking industry of Iran that is an innovation of this research.

The present study tried to determine the relationship betweenstrategies, enablers and capabilities of the knowledge management process with employee empowerment. The statistical population of current research is the SMEs of the east Mazandaran province with more than 42 months of activity. The statistical population 307 companies, and statistical sample are based on a Cochran formula with (n=171). Using SPSS19 software, Cronbach'salpha 94.6% has been obtained. Results of structural equation modeling techniques using the LISREL8.5 software showed that the process of knowledge management has a significant direct relationship on employee empowerment (coefficient 0.59). Knowledge management enablers, directly (0.18) and indirectly (0.20) through knowledge management process has a significant impact on employee empowerment. But a direct impact of knowledge management strategies on employee empowerment (path coefficient 0.16) is not significant, and only indirectly through the knowledge management process (0.22) has significant impact on employee empowerment. Also the results showed that the knowledge management strategies and enablers have direct and significant impact on employee empowerment.

The Mass market strategy does not have a big chance for success in a competitive market. Therefore, by segmenting a heterogeneous market into some smaller and homogenous markets in which customers have similar characteristics, it is expected that the resources can be more efficiently utilized for meeting the needs of customers. The purpose of this study  was mathematical modelling of market segmentation of an Iranian steel-making company using value proposition elements of the company for the customers. The model that mentioned above was used for the analysis of data related to six value proposition elements from 129 major customers of the company. This model was solved using the GAMS software and the number of optimized segments was 9. In this study, the results obtained were compared with those achieved by the conventional segmentation methods such as K-means and self-organized neural networks and two-step clustering. Further, for the validation of the mathematical model used, due to the multi-attribute nature of the segmentation done, discriminant analysis of research data was done after segmentation and the success percentage of the ranking rule was found to be 95.3 %.  Also, the similarity criterion was computed for each potential new customer to show which group the new customer belonged.